- Page 1 and 2: Package ‘extRemes’ January 24,
- Page 3 and 4: extRemes-package 3 extRemes (= 2.0)
- Page 5: atdf 5 Usage atdf(x, u, lag.max = N
- Page 9 and 10: ci.fevd 9 Examples data(Fort) bmFor
- Page 11 and 12: ci.fevd 11 1. Simulate a sample of
- Page 13 and 14: ci.rl.ns.fevd.bayesian 13 ## End(No
- Page 15 and 16: datagrabber.declustered 15 Usage da
- Page 17 and 18: decluster 17 decluster Decluster Da
- Page 19 and 20: decluster 19 data.name character st
- Page 21 and 22: Denmint 21 Denmint Denver Minimum T
- Page 23 and 24: devd 23 Usage devd(x, loc = 0, scal
- Page 25 and 26: devd 25 Pickands, J. (1975) Statist
- Page 27 and 28: distill.fevd 27 ## S3 method for cl
- Page 29 and 30: erlevd 29 References Gilleland, E.
- Page 31 and 32: extremalindex 31 Value There are ma
- Page 33 and 34: fevd 33 fevd Fit An Extreme Value D
- Page 35 and 36: fevd 35 method initial span units t
- Page 37 and 38: fevd 37 iter weights blocks FUN Det
- Page 39 and 40: fevd 39 For Bayesian estimation, it
- Page 41 and 42: fevd 41 facilitate a more meaningfu
- Page 43 and 44: fevd 43 proposalFun, proposalParams
- Page 45 and 46: fevd 45 # Port Jervis, New York win
- Page 47 and 48: fevd 47 ci(fit, type="parameter") p
- Page 49 and 50: fevd 49 set.seed(0) FortSub 0.395,
- Page 51 and 52: fevd 51 plot(fitB, "trace") # Above
- Page 53 and 54: findpars 53 ## S3 method for class
- Page 55 and 56: Flood 55 Format A data frame with 6
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fpois 57 Usage fpois(x, na.action =
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ftcanmax 59 ftcanmax Annual Maximum
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levd 61 Details This function is mo
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lr.test 63 When blocks is supplied,
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make.qcov 65 Author(s) Eric Gillela
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mrlplot 67 mrlplot Mean Residual Li
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parcov.fevd 69 References Coles, S.
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pextRemes 71 Details Source Peak st
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pextRemes 73 Value given. If not, t
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pextRemes 75 # Note that fit has a
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Potomac 77 References Thompson, D.
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qqnorm 79 gr, method, lower, upper,
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qqplot 81 qqplot qq-plot Between Tw
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eturn.level 83 return.level Return
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eturn.level 85 Value shape and loca
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evtrans.evd 87 revtrans.evd Reverse
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levd 89 Details The extreme value d
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shiftplot 91 Format A data frame wi
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taildep 93 taildep Tail Dependence
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taildep.test 95 taildep.test Tail D
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threshrange.plot 97 taildep.test(PO
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Tphap 99 Tphap Daily Maximum and Mi
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trans 101 Value For GP distributed
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INDEX 103 levd, 61 pextRemes, 71 th